About Me

I’m a Computer Science PhD student at Carnegie Mellon University, advised by Mor Harchol-Balter. My current research focuses on the performance of scheduling policies with age-based priority.

Publications

What’s in a Name? Linear Temporal Logic Literally Represents Time Lines
Runming Li*, Keerthana Gurushankar*, Marijn J.H. Heule, Kristin Y. Rozier
Jul 2023, IEEE Working Conference on Software Visualization (VISSOFT 2023) (*equal contribution) Preprint Artifact

Capturing and Interpreting Unique Information
Praveen Venkatesh, Keerthana Gurushankar, Gabriel Schamberg
Jan 2023, IEEE International Symposium on Information Theory 2023. Preprint

Extracting Unique Information through Markov Relations
Keerthana Gurushankar, Praveen Venkatesh, Pulkit Grover
Jul 2022, Allerton Conference on Communication, Control and Computing. Preprint

Sharp bounds on p-norms for sums of independent uniform random variables, 0<p<1
Giorgos Chasapis, Keerthana Gurushankar, Tomasz Tkocz
May 2021, Journal d’Analyse Mathématique. Preprint

A minimal intervention definition of reverse engineering a neural circuit
Keerthana Gurushankar, Pulkit Grover
May 2024, ISIT 2024 Workshop on Information Theory in Neuroscience and Neuroengineering Preprint